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Commodity and transportation economic market interactions revisited: New evidence from a dynamic factor model

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  • Angelopoulos, Jason
  • Sahoo, Satya
  • Visvikis, Ilias D.

Abstract

To the best of our knowledge, this is the first paper, to utilise a novel dynamic factor model to investigate the economic relationships between 65 commodity (including oil, energy, metal, ores, and agricultural products), maritime transportation (including tanker and dry bulk freight rates) and financial (including derivatives products) markets, under three different frequencies (daily, weekly and monthly) in a single methodological framework. The paper overcomes a limitation of the previous literature that uses pairwise models, and as such, informational cross-market relationships which may have been ignored or not captured are uncovered for the first time. Results indicate strong economic relationships from commodity to freight markets, with crude oil prices serving as the leading (price discovery) indicator among all the investigated markets, but also between different sub-markets. The results are important to international investors and traders, but also provide essential insights to policymakers and regulators, in terms of commercial strategies, asset positioning, network supply chain modelling, asset investment allocation, budgeting and risk management.

Suggested Citation

  • Angelopoulos, Jason & Sahoo, Satya & Visvikis, Ilias D., 2020. "Commodity and transportation economic market interactions revisited: New evidence from a dynamic factor model," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 133(C).
    • Handle: RePEc:eee:transe:v:133:y:2020:i:c:s1366554519311081
    DOI: 10.1016/j.tre.2019.101836
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    as
    1. Michael S. Haigh & Henry L. Bryant, 2000. "The effect of barge and ocean freight price volatility in international grain markets," Agricultural Economics, International Association of Agricultural Economists, vol. 25(1), pages 41-58, June.
    2. Forni, Mario & Hallin, Marc & Lippi, Marco & Reichlin, Lucrezia, 2005. "The Generalized Dynamic Factor Model: One-Sided Estimation and Forecasting," Journal of the American Statistical Association, American Statistical Association, vol. 100, pages 830-840, September.
    3. Forni, Mario & Lippi, Marco, 2001. "The Generalized Dynamic Factor Model: Representation Theory," Econometric Theory, Cambridge University Press, vol. 17(6), pages 1113-1141, December.
    4. Ying Kou & Liming Liu & Meifeng Luo, 2014. "Lead-lag relationship between new-building and second-hand ship prices," Maritime Policy & Management, Taylor & Francis Journals, vol. 41(4), pages 303-327, July.
    5. Shun Chen & Hilde Meersman & Eddy van de Voorde, 2010. "Dynamic interrelationships in returns and volatilities between Capesize and Panamax markets," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 12(1), pages 65-90, March.
    6. Manolis G. Kavussanos & Ilias D. Visvikis & Panayotis D. Alexakis, 2008. "The Lead‐Lag Relationship Between Cash and Stock Index Futures in a New Market," European Financial Management, European Financial Management Association, vol. 14(5), pages 1007-1025, November.
    7. Creti, Anna & Joëts, Marc & Mignon, Valérie, 2013. "On the links between stock and commodity markets' volatility," Energy Economics, Elsevier, vol. 37(C), pages 16-28.
    8. Xiaodong Du and Lihong Lu McPhail, 2012. "Inside the Black Box: the Price Linkage and Transmission between Energy and Agricultural Markets," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2).
    9. Lardic, Sandrine & Mignon, Valérie, 2008. "Oil prices and economic activity: An asymmetric cointegration approach," Energy Economics, Elsevier, vol. 30(3), pages 847-855, May.
    10. Xiaolin Sun & Hailong Liu & Shiyuan Zheng & Shun Chen, 2018. "Combination hedging strategies for crude oil and dry bulk freight rates on the impacts of dynamic cross-market interaction," Maritime Policy & Management, Taylor & Francis Journals, vol. 45(2), pages 174-196, February.
    11. Dickey, David A & Fuller, Wayne A, 1981. "Likelihood Ratio Statistics for Autoregressive Time Series with a Unit Root," Econometrica, Econometric Society, vol. 49(4), pages 1057-1072, June.
    12. repec:dau:papers:123456789/14980 is not listed on IDEAS
    13. Forni, Mario, et al, 2001. "Coincident and Leading Indicators for the Euro Area," Economic Journal, Royal Economic Society, vol. 111(471), pages 62-85, May.
    14. Jingbo Yin & Meifeng Luo & Lixian Fan, 2017. "Dynamics and interactions between spot and forward freights in the dry bulk shipping market," Maritime Policy & Management, Taylor & Francis Journals, vol. 44(2), pages 271-288, February.
    15. Nazlioglu, Saban & Erdem, Cumhur & Soytas, Ugur, 2013. "Volatility spillover between oil and agricultural commodity markets," Energy Economics, Elsevier, vol. 36(C), pages 658-665.
    16. Fleming, Jeff & Kirby, Chris & Ostdiek, Barbara, 1998. "Information and volatility linkages in the stock, bond, and money markets," Journal of Financial Economics, Elsevier, vol. 49(1), pages 111-137, July.
    17. Chan, Kam Fong & Treepongkaruna, Sirimon & Brooks, Robert & Gray, Stephen, 2011. "Asset market linkages: Evidence from financial, commodity and real estate assets," Journal of Banking & Finance, Elsevier, vol. 35(6), pages 1415-1426, June.
    18. Alexei Onatski, 2009. "Testing Hypotheses About the Number of Factors in Large Factor Models," Econometrica, Econometric Society, vol. 77(5), pages 1447-1479, September.
    19. El Hedi Arouri, Mohamed & Jouini, Jamel & Nguyen, Duc Khuong, 2011. "Volatility spillovers between oil prices and stock sector returns: Implications for portfolio management," Journal of International Money and Finance, Elsevier, vol. 30(7), pages 1387-1405.
    20. Wolfgang Drobetz & Tim Richter & Martin Wambach, 2012. "Dynamics of time-varying volatility in the dry bulk and tanker freight markets," Applied Financial Economics, Taylor & Francis Journals, vol. 22(16), pages 1367-1384, August.
    21. Du, Xiaodong & Yu, Cindy L. & Hayes, Dermot J., 2011. "Speculation and volatility spillover in the crude oil and agricultural commodity markets: A Bayesian analysis," Energy Economics, Elsevier, vol. 33(3), pages 497-503, May.
    22. Jason Angelopoulos, 2017. "Creating and assessing composite indicators: Dynamic applications for the port industry and seaborne trade," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 19(1), pages 126-159, March.
    23. Manolis Kavussanos & Nikos Nomikos, 2003. "Price Discovery, Causality and Forecasting in the Freight Futures Market," Review of Derivatives Research, Springer, vol. 6(3), pages 203-230, October.
    24. Luca Benati, 2001. "Band-pass filtering, cointegration, and business cycle analysis," Bank of England working papers 142, Bank of England.
    25. Yanan Li & David E. Giles, 2015. "Modelling Volatility Spillover Effects Between Developed Stock Markets and Asian Emerging Stock Markets," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 20(2), pages 155-177, March.
    26. Ben S. Bernanke & Jean Boivin & Piotr Eliasz, 2005. "Measuring the Effects of Monetary Policy: A Factor-Augmented Vector Autoregressive (FAVAR) Approach," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 120(1), pages 387-422.
    27. Daskalaki, Charoula & Skiadopoulos, George, 2011. "Should investors include commodities in their portfolios after all? New evidence," Journal of Banking & Finance, Elsevier, vol. 35(10), pages 2606-2626, October.
    28. Stock, James H. & Watson, Mark, 2011. "Dynamic Factor Models," Scholarly Articles 28469541, Harvard University Department of Economics.
    29. José Da Fonseca & Riadh Zaatour, 2017. "Correlation and Lead–Lag Relationships in a Hawkes Microstructure Model," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 37(3), pages 260-285, March.
    30. Manolis G. Kavussanos & Nikos K. Nomikos, 1999. "The forward pricing function of the shipping freight futures market," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 19(3), pages 353-376, May.
    31. Hanson, Kenneth & Robinson, Sherman & Schluter, Gerald E., 1993. "Sectoral Effects Of A World Oil Price Shock: Economywide Linkages To The Agricultural Sector," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 18(1), pages 1-21, July.
    32. Alexandridis, G. & Sahoo, S. & Visvikis, I., 2017. "Economic information transmissions and liquidity between shipping markets: New evidence from freight derivatives," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 98(C), pages 82-104.
    33. Kavussanos, Manolis G. & Visvikis, Ilias D. & Batchelor, Roy A., 2004. "Over-the-counter forward contracts and spot price volatility in shipping," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 40(4), pages 273-296, July.
    34. Hamao, Yasushi & Masulis, Ronald W & Ng, Victor, 1990. "Correlations in Price Changes and Volatility across International Stock Markets," The Review of Financial Studies, Society for Financial Studies, vol. 3(2), pages 281-307.
    35. Mario Forni & Marc Hallin & Marco Lippi & Lucrezia Reichlin, 2000. "The Generalized Dynamic-Factor Model: Identification And Estimation," The Review of Economics and Statistics, MIT Press, vol. 82(4), pages 540-554, November.
    36. Lu Jing & Peter B. Marlow & Wang Hui, 2008. "An analysis of freight rate volatility in dry bulk shipping markets," Maritime Policy & Management, Taylor & Francis Journals, vol. 35(3), pages 237-251, June.
    37. Severin Borenstein & A. Colin Cameron & Richard Gilbert, 1997. "Do Gasoline Prices Respond Asymmetrically to Crude Oil Price Changes?," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 112(1), pages 305-339.
    38. Mensi, Walid & Hammoudeh, Shawkat & Nguyen, Duc Khuong & Kang, Sang Hoon, 2016. "Global financial crisis and spillover effects among the U.S. and BRICS stock markets," International Review of Economics & Finance, Elsevier, vol. 42(C), pages 257-276.
    39. Ng, Angela, 2000. "Volatility spillover effects from Japan and the US to the Pacific-Basin," Journal of International Money and Finance, Elsevier, vol. 19(2), pages 207-233, April.
    40. Lardic, Sandrine & Mignon, Valerie, 2006. "The impact of oil prices on GDP in European countries: An empirical investigation based on asymmetric cointegration," Energy Policy, Elsevier, vol. 34(18), pages 3910-3915, December.
    41. Nazlioglu, Saban & Soytas, Ugur & Gupta, Rangan, 2015. "Oil prices and financial stress: A volatility spillover analysis," Energy Policy, Elsevier, vol. 82(C), pages 278-288.
    42. Suleyman Basak & Anna Pavlova, 2016. "A Model of Financialization of Commodities," Journal of Finance, American Finance Association, vol. 71(4), pages 1511-1556, August.
    43. Kevin X. Li & Yi Xiao & Shu-Ling Chen & Wei Zhang & Yuquan Du & Wenming Shi, 2018. "Dynamics and interdependencies among different shipping freight markets," Maritime Policy & Management, Taylor & Francis Journals, vol. 45(7), pages 837-849, October.
    44. Tun‐Hsiang (Edward) Yu & David A. Bessler & Stephen W. Fuller, 2007. "Price Dynamics in U.S. Grain and Freight Markets," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 55(3), pages 381-397, September.
    45. Anna Merika & Andreas Merikas & Mike Tsionas & Andreas Andrikopoulos, 2019. "Exploring vessel-price dynamics: the case of the dry bulk market," Maritime Policy & Management, Taylor & Francis Journals, vol. 46(3), pages 309-329, April.
    46. Fama, Eugene F. & French, Kenneth R., 1993. "Common risk factors in the returns on stocks and bonds," Journal of Financial Economics, Elsevier, vol. 33(1), pages 3-56, February.
    47. Chan, Kalok, 1992. "A Further Analysis of the Lead-Lag Relationship between the Cash Market and Stock Index Futures Market," The Review of Financial Studies, Society for Financial Studies, vol. 5(1), pages 123-152.
    48. Sheng-Yung Yang & Shuh-Chyi Doong, 2004. "Price and Volatility Spillovers between Stock Prices and Exchange Rates: Empirical Evidence from the G-7 Countries," International Journal of Business and Economics, School of Management Development, Feng Chia University, Taichung, Taiwan, vol. 3(2), pages 139-153, August.
    49. Gavriilidis, Konstantinos & Kambouroudis, Dimos S. & Tsakou, Katerina & Tsouknidis, Dimitris A., 2018. "Volatility forecasting across tanker freight rates: The role of oil price shocks," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 118(C), pages 376-391.
    50. Manolis Kavussanos & Ilias Visvikis & Dimitris Dimitrakopoulos, 2010. "Information linkages between Panamax freight derivatives and commodity derivatives markets," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 12(1), pages 91-110, March.
    51. Vangelis Tsioumas & Stratos Papadimitriou, 2018. "The dynamic relationship between freight markets and commodity prices revealed," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 20(2), pages 267-279, June.
    52. Kavussanos, Manolis G. & Visvikis, Ilias D., 2004. "Market interactions in returns and volatilities between spot and forward shipping freight markets," Journal of Banking & Finance, Elsevier, vol. 28(8), pages 2015-2049, August.
    53. Stock J.H. & Watson M.W., 2002. "Forecasting Using Principal Components From a Large Number of Predictors," Journal of the American Statistical Association, American Statistical Association, vol. 97, pages 1167-1179, December.
    54. Tsouknidis, Dimitris A., 2016. "Dynamic volatility spillovers across shipping freight markets," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 91(C), pages 90-111.
    55. Belousova, Julia & Dorfleitner, Gregor, 2012. "On the diversification benefits of commodities from the perspective of euro investors," Journal of Banking & Finance, Elsevier, vol. 36(9), pages 2455-2472.
    56. Sadorsky, Perry, 2014. "Modeling volatility and correlations between emerging market stock prices and the prices of copper, oil and wheat," Energy Economics, Elsevier, vol. 43(C), pages 72-81.
    57. Kevin X. Li & Guanqiu Qi & Wenming Shi & Zhongzhi Yang & Hee-Seok Bang & Su-Han Woo & Tsz Leung Yip, 2014. "Spillover effects and dynamic correlations between spot and forward tanker freight markets," Maritime Policy & Management, Taylor & Francis Journals, vol. 41(7), pages 683-696, December.
    58. Friedlaender, Ann F & Spady, Richard H, 1980. "A Derived Demand Function for Freight Transportation," The Review of Economics and Statistics, MIT Press, vol. 62(3), pages 432-441, August.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    Commodity and freight markets; Derivatives markets; Dynamic factor model; Price discovery; Leading indicators;
    All these keywords.

    JEL classification:

    • C01 - Mathematical and Quantitative Methods - - General - - - Econometrics
    • Q02 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - General - - - Commodity Market
    • G32 - Financial Economics - - Corporate Finance and Governance - - - Financing Policy; Financial Risk and Risk Management; Capital and Ownership Structure; Value of Firms; Goodwill
    • C38 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Classification Methdos; Cluster Analysis; Principal Components; Factor Analysis
    • F37 - International Economics - - International Finance - - - International Finance Forecasting and Simulation: Models and Applications

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